We are building a financial platform that will research and run systematic trading strategies.
We collaborate with the quant team on strategies research, risk modeling, and portfolio optimizations. Our software engineering team embeds the corresponding logic into the platform.
Similar systems already exist on the market, but quants need to use several of them to research and run trading strategies. Our client’s idea is to build a system that can do it all.
Client: Several quants with 15+ years of Wall Street experience.
Team: 25 people
Project’s Stack
Frontend: Typescript, Material UI, React, Jest, ESLint, Recharts.
Backend (Microservices): Kotlin, Groovy, Python, Micronaut, Flask, Gatling, Locust, Spock, FastAPI, Pytest, Pandas, NumPy, SQLAIchemy, Yoyo.
Databases: AWS DocumentDB, PostgreSQL.
Infrastructure/pipelines: AWS, Airflow, Terraform, Terraspace, Docker, Gradle, Tekton, VCS, Git.
What a Lead Software Engineer will do:
Design cloud-native software for AWS using AWS Well-Architected Framework,
Design functional behavior of software based on user needs,
Code using CI/CD and TDD practices,
Organize and coordinate the team,
Communicate with the client and the team daily,
Complete related tasks: participate in team meetings, estimate features, analyze the system’s security.
We expect that a Lead Software Engineer:
Has 3+ years of experience developing web apps on Python,
Has at least Upper-Intermediate level of English; can communicate with native English speakers,
Used relational and non-relational databases; wrote requests to databases,
Worked with AWS and AWS Well-Architected Framework; can design cloud-native software for AWS using AWS Well-Architected Framework,
Used Terraform for cloud resource management,
Has 1+ years of team leading experience.
Will be a plus:
You have expertise in FinTech,
You have worked with Flask or any other web frameworks,
You have worked with Kotlin or any other backend programming language,
You have worked with Pandas or NumPy libraries.
Join the Znoydzem community.
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